Literature DB >> 24958787

Relative growth rate variation of evergreen and deciduous savanna tree species is driven by different traits.

Kyle W Tomlinson1, Lourens Poorter2, Frans Bongers2, Fabian Borghetti3, Loes Jacobs4, Frank van Langevelde4.   

Abstract

BACKGROUND AND AIMS: Plant relative growth rate (RGR) depends on biomass allocation to leaves (leaf mass fraction, LMF), efficient construction of leaf surface area (specific leaf area, SLA) and biomass growth per unit leaf area (net assimilation rate, NAR). Functional groups of species may differ in any of these traits, potentially resulting in (1) differences in mean RGR of groups, and (2) differences in the traits driving RGR variation within each group. We tested these predictions by comparing deciduous and evergreen savanna trees.
METHODS: RGR, changes to biomass allocation and leaf morphology, and root non-structural carbohydrate reserves were evaluated for juveniles of 51 savanna species (34 deciduous, 17 evergreen) grown in a common garden experiment. It was anticipated that drivers of RGR would differ between leaf habit groups because deciduous species have to allocate carbohydrates to storage in roots to be able to flush leaves again, which directly compromises their LMF, whereas evergreen species are not subject to this constraint. KEY
RESULTS: Evergreen species had greater LMF and RGR than deciduous species. Among deciduous species LMF explained 27 % of RGR variation (SLA 34 % and NAR 29 %), whereas among evergreen species LMF explained between 2 and 17 % of RGR variation (SLA 32-35 % and NAR 38-62 %). RGR and LMF were (negatively) related to carbohydrate storage only among deciduous species.
CONCLUSIONS: Trade-offs between investment in carbohydrate reserves and growth occurred only among deciduous species, leading to differences in relative contribution made by the underlying components of RGR between the leaf habit groups. The results suggest that differences in drivers of RGR occur among savanna species because these have different selected strategies for coping with fire disturbance in savannas. It is expected that variation in the drivers of RGR will be found in other functional types that respond differently to particular disturbances.
© The Author 2014. Published by Oxford University Press on behalf of the Annals of Botany Company. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Carbohydrate storage; RGR; deciduous; ecological traits; evergreen; functional types; plant growth variation; relative growth rate; savanna trees

Mesh:

Year:  2014        PMID: 24958787      PMCID: PMC4111386          DOI: 10.1093/aob/mcu107

Source DB:  PubMed          Journal:  Ann Bot        ISSN: 0305-7364            Impact factor:   4.357


  10 in total

1.  Avoiding bias in calculations of relative growth rate.

Authors:  William A Hoffmann; Hendrik Poorter
Journal:  Ann Bot       Date:  2002-07       Impact factor: 4.357

2.  Constraints to seedling success of savanna and forest trees across the savanna-forest boundary.

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3.  The worldwide leaf economics spectrum.

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6.  Phylogenetic analysis and comparative data: a test and review of evidence.

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7.  Growth rates, seed size, and physiology: do small-seeded species really grow faster?

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8.  Deciduous and evergreen trees differ in juvenile biomass allometries because of differences in allocation to root storage.

Authors:  Kyle W Tomlinson; Frank van Langevelde; David Ward; Frans Bongers; Dulce Alves da Silva; Herbert H T Prins; Steven de Bie; Frank J Sterck
Journal:  Ann Bot       Date:  2013-08       Impact factor: 4.357

9.  Optimal partitioning theory revisited: nonstructural carbohydrates dominate root mass responses to nitrogen.

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Journal:  Ecology       Date:  2010-01       Impact factor: 5.499

10.  Carbohydrate storage and light requirements of tropical moist and dry forest tree species.

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  10 in total
  1 in total

Review 1.  Many shades of green: the dynamic tropical forest-savannah transition zones.

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-09-19       Impact factor: 6.237

  1 in total

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